Create app.py

app.py

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+import streamlit as st
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Streamlit app layout
+st.title("Insurance Payment with Savings 💼")
+
+# Create the inputs (A, r, n)
+monthly_payment = st.number_input("Desired monthly payment:")
+interest_rate = st.number_input("Interest rate (%):")
+months = int(st.number_input("Number of months:", step=1))
+
+# Calculate the present value
+present_value = (monthly_payment * 12 / interest_rate) * (1 - (1 / (1 + interest_rate/12)**months))
+
+# Display the present value
+st.write(f"The present value is {present_value:,.2f} using the discrete model")
+
+# Cashflow DataFrame
+cashflows = [-present_value] + [monthly_payment] * months
+cf_df = pd.DataFrame({"cashflows": cashflows}).astype(float)
+st.dataframe(cf_df.T)
+
+# Plot the Cashflow Diagram
+colors = ["green" if cf > 0 else "red" for cf in cf_df.cashflows]
+plt.scatter(range(months + 1), cf_df.cashflows, c=colors)
+plt.title("Cashflow Diagram")
+plt.xlabel("Period")
+plt.ylabel("Cashflow")
+for i, cf in enumerate(cf_df.cashflows):
+    plt.annotate(f"{cf:,.2f}", (i, cf), textcoords="offset points", xytext=(0, months), ha="center")
+st.pyplot(plt)